Strategic Project Lead - AI Post-Training (London)

3 days, 16 hours ago
Full-time
Mid Level
Artificial Intelligence and Machine Learning
Appen

Appen

Appen is a global leader in providing high-quality data management services for AI development. With over 1 million crowd workers, Appen supports the world's top technology companies in enhancing their products and services. The company offers a divers...

IT Services
1001-5000
Founded 1996
$59M raised

Description

  • Own end-to-end project delivery, including scope, timelines, budgets, staffing, and risk management.
  • Lead client communications, status reporting, planning sessions, and escalations.
  • Translate model-improvement objectives into data requirements, workflows, rubrics, and evaluation plans.
  • Define quality standards and acceptance criteria for preference data, model comparisons, and evaluation outputs.
  • Monitor delivery quality, investigate inconsistencies, and resolve ambiguous requirements with clients.
  • Advise on data design, evaluation approaches, and project feasibility.
  • Develop reusable guidelines, SOPs, and QA frameworks for consistent program delivery.
  • Mentor Operations Specialists and support project scoping, pilots, and new capability development.

Requirements

  • 1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment.
  • Familiarity with at least one AI post-training or model-evaluation workflow.
  • Experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
  • Understanding of data quality, annotation workflows, and quality-assurance methods.
  • Ability to translate evolving requirements into clear workflows, rubrics, and measurable quality standards.
  • Strong troubleshooting and organizational skills, with the ability to manage multiple priorities.
  • Interest in frontier AI developments and post-training approaches.
  • Experience with RLHF, preference data, or model response evaluation (preferred).
  • Familiarity with rubric design, model comparison, benchmark development, or evaluation creation (preferred).
  • German or Nordic-language bilingual capability (preferred).

Benefits

  • Flexible ways of working tailored to you and your team.
  • Tools, resources, and development opportunities to build capability over time.
  • Work on complex AI challenges across industries and geographies.
  • Collaborative culture focused on innovation, accountability, and quality.

Interested in this position?

Apply directly on the company website

Apply Now

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